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@@ -1,259 +1,280 b'' | |||
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1 | 1 | """This module defines a base Exporter class. For Jinja template-based export, |
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2 | 2 | see templateexporter.py. |
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3 | 3 | """ |
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4 | 4 | |
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5 | 5 | |
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6 | 6 | from __future__ import print_function, absolute_import |
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7 | 7 | |
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8 | 8 | import io |
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9 | 9 | import os |
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10 | 10 | import copy |
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11 | 11 | import collections |
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12 | 12 | import datetime |
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13 | 13 | |
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14 | 14 | from IPython.config.configurable import LoggingConfigurable |
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15 | 15 | from IPython.config import Config |
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16 | 16 | from IPython import nbformat |
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17 |
from IPython.utils.traitlets import MetaHasTraits, |
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17 | from IPython.utils.traitlets import MetaHasTraits, TraitType, List, TraitError | |
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18 | 18 | from IPython.utils.importstring import import_item |
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19 | 19 | from IPython.utils import text, py3compat |
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20 | 20 | |
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21 | 21 | |
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22 | 22 | class ResourcesDict(collections.defaultdict): |
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23 | 23 | def __missing__(self, key): |
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24 | 24 | return '' |
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25 | 25 | |
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26 | 26 | |
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27 | class Extension(TraitType): | |
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28 | """A trait for filename extensions.""" | |
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29 | ||
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30 | default_value = u'' | |
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31 | info_text = 'a filename extension, beginning with a dot' | |
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32 | ||
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33 | def validate(self, obj, value): | |
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34 | if isinstance(value, bytes): | |
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35 | try: | |
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36 | value = value.decode('ascii', 'strict') | |
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37 | except UnicodeDecodeError: | |
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38 | msg = "Could not decode {!r} for extension trait '{}'." | |
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39 | raise TraitError(msg.format(value, self.name)) | |
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40 | ||
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41 | if not value.startswith('.'): | |
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42 | msg = "Extension trait '{}' does not begin with a dot: {!r}" | |
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43 | raise TraitError(msg.format(self.name, value)) | |
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44 | ||
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45 | return value | |
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46 | ||
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47 | ||
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27 | 48 | class Exporter(LoggingConfigurable): |
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28 | 49 | """ |
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29 | 50 | Class containing methods that sequentially run a list of preprocessors on a |
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30 | 51 | NotebookNode object and then return the modified NotebookNode object and |
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31 | 52 | accompanying resources dict. |
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32 | 53 | """ |
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33 | 54 | |
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34 |
file_extension = |
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55 | file_extension = Extension( | |
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35 | 56 | '.txt', config=True, |
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36 | 57 | help="Extension of the file that should be written to disk" |
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37 | 58 | ) |
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38 | 59 | |
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39 | 60 | # MIME type of the result file, for HTTP response headers. |
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40 | 61 | # This is *not* a traitlet, because we want to be able to access it from |
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41 | 62 | # the class, not just on instances. |
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42 | 63 | output_mimetype = '' |
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43 | 64 | |
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44 | 65 | #Configurability, allows the user to easily add filters and preprocessors. |
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45 | 66 | preprocessors = List(config=True, |
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46 | 67 | help="""List of preprocessors, by name or namespace, to enable.""") |
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47 | 68 | |
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48 | 69 | _preprocessors = List() |
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49 | 70 | |
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50 | 71 | default_preprocessors = List(['IPython.nbconvert.preprocessors.coalesce_streams', |
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51 | 72 | 'IPython.nbconvert.preprocessors.SVG2PDFPreprocessor', |
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52 | 73 | 'IPython.nbconvert.preprocessors.ExtractOutputPreprocessor', |
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53 | 74 | 'IPython.nbconvert.preprocessors.CSSHTMLHeaderPreprocessor', |
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54 | 75 | 'IPython.nbconvert.preprocessors.RevealHelpPreprocessor', |
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55 | 76 | 'IPython.nbconvert.preprocessors.LatexPreprocessor', |
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56 | 77 | 'IPython.nbconvert.preprocessors.ClearOutputPreprocessor', |
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57 | 78 | 'IPython.nbconvert.preprocessors.ExecutePreprocessor', |
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58 | 79 | 'IPython.nbconvert.preprocessors.HighlightMagicsPreprocessor'], |
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59 | 80 | config=True, |
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60 | 81 | help="""List of preprocessors available by default, by name, namespace, |
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61 | 82 | instance, or type.""") |
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62 | 83 | |
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63 | 84 | |
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64 | 85 | def __init__(self, config=None, **kw): |
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65 | 86 | """ |
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66 | 87 | Public constructor |
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67 | 88 | |
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68 | 89 | Parameters |
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69 | 90 | ---------- |
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70 | 91 | config : config |
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71 | 92 | User configuration instance. |
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72 | 93 | """ |
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73 | 94 | with_default_config = self.default_config |
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74 | 95 | if config: |
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75 | 96 | with_default_config.merge(config) |
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76 | 97 | |
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77 | 98 | super(Exporter, self).__init__(config=with_default_config, **kw) |
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78 | 99 | |
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79 | 100 | self._init_preprocessors() |
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80 | 101 | |
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81 | 102 | |
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82 | 103 | @property |
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83 | 104 | def default_config(self): |
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84 | 105 | return Config() |
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85 | 106 | |
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86 | 107 | def from_notebook_node(self, nb, resources=None, **kw): |
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87 | 108 | """ |
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88 | 109 | Convert a notebook from a notebook node instance. |
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89 | 110 | |
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90 | 111 | Parameters |
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91 | 112 | ---------- |
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92 | 113 | nb : :class:`~IPython.nbformat.NotebookNode` |
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93 | 114 | Notebook node (dict-like with attr-access) |
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94 | 115 | resources : dict |
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95 | 116 | Additional resources that can be accessed read/write by |
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96 | 117 | preprocessors and filters. |
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97 | 118 | **kw |
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98 | 119 | Ignored (?) |
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99 | 120 | """ |
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100 | 121 | nb_copy = copy.deepcopy(nb) |
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101 | 122 | resources = self._init_resources(resources) |
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102 | 123 | |
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103 | 124 | if 'language' in nb['metadata']: |
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104 | 125 | resources['language'] = nb['metadata']['language'].lower() |
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105 | 126 | |
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106 | 127 | # Preprocess |
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107 | 128 | nb_copy, resources = self._preprocess(nb_copy, resources) |
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108 | 129 | |
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109 | 130 | return nb_copy, resources |
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110 | 131 | |
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111 | 132 | |
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112 | 133 | def from_filename(self, filename, resources=None, **kw): |
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113 | 134 | """ |
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114 | 135 | Convert a notebook from a notebook file. |
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115 | 136 | |
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116 | 137 | Parameters |
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117 | 138 | ---------- |
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118 | 139 | filename : str |
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119 | 140 | Full filename of the notebook file to open and convert. |
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120 | 141 | """ |
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121 | 142 | |
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122 | 143 | # Pull the metadata from the filesystem. |
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123 | 144 | if resources is None: |
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124 | 145 | resources = ResourcesDict() |
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125 | 146 | if not 'metadata' in resources or resources['metadata'] == '': |
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126 | 147 | resources['metadata'] = ResourcesDict() |
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127 | 148 | basename = os.path.basename(filename) |
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128 | 149 | notebook_name = basename[:basename.rfind('.')] |
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129 | 150 | resources['metadata']['name'] = notebook_name |
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130 | 151 | |
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131 | 152 | modified_date = datetime.datetime.fromtimestamp(os.path.getmtime(filename)) |
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132 | 153 | resources['metadata']['modified_date'] = modified_date.strftime(text.date_format) |
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133 | 154 | |
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134 | 155 | with io.open(filename, encoding='utf-8') as f: |
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135 | 156 | return self.from_notebook_node(nbformat.read(f, as_version=4), resources=resources, **kw) |
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136 | 157 | |
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137 | 158 | |
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138 | 159 | def from_file(self, file_stream, resources=None, **kw): |
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139 | 160 | """ |
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140 | 161 | Convert a notebook from a notebook file. |
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141 | 162 | |
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142 | 163 | Parameters |
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143 | 164 | ---------- |
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144 | 165 | file_stream : file-like object |
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145 | 166 | Notebook file-like object to convert. |
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146 | 167 | """ |
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147 | 168 | return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw) |
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148 | 169 | |
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149 | 170 | |
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150 | 171 | def register_preprocessor(self, preprocessor, enabled=False): |
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151 | 172 | """ |
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152 | 173 | Register a preprocessor. |
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153 | 174 | Preprocessors are classes that act upon the notebook before it is |
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154 | 175 | passed into the Jinja templating engine. preprocessors are also |
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155 | 176 | capable of passing additional information to the Jinja |
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156 | 177 | templating engine. |
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157 | 178 | |
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158 | 179 | Parameters |
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159 | 180 | ---------- |
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160 | 181 | preprocessor : preprocessor |
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161 | 182 | """ |
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162 | 183 | if preprocessor is None: |
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163 | 184 | raise TypeError('preprocessor') |
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164 | 185 | isclass = isinstance(preprocessor, type) |
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165 | 186 | constructed = not isclass |
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166 | 187 | |
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167 | 188 | # Handle preprocessor's registration based on it's type |
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168 | 189 | if constructed and isinstance(preprocessor, py3compat.string_types): |
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169 | 190 | # Preprocessor is a string, import the namespace and recursively call |
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170 | 191 | # this register_preprocessor method |
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171 | 192 | preprocessor_cls = import_item(preprocessor) |
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172 | 193 | return self.register_preprocessor(preprocessor_cls, enabled) |
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173 | 194 | |
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174 | 195 | if constructed and hasattr(preprocessor, '__call__'): |
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175 | 196 | # Preprocessor is a function, no need to construct it. |
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176 | 197 | # Register and return the preprocessor. |
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177 | 198 | if enabled: |
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178 | 199 | preprocessor.enabled = True |
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179 | 200 | self._preprocessors.append(preprocessor) |
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180 | 201 | return preprocessor |
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181 | 202 | |
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182 | 203 | elif isclass and isinstance(preprocessor, MetaHasTraits): |
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183 | 204 | # Preprocessor is configurable. Make sure to pass in new default for |
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184 | 205 | # the enabled flag if one was specified. |
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185 | 206 | self.register_preprocessor(preprocessor(parent=self), enabled) |
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186 | 207 | |
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187 | 208 | elif isclass: |
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188 | 209 | # Preprocessor is not configurable, construct it |
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189 | 210 | self.register_preprocessor(preprocessor(), enabled) |
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190 | 211 | |
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191 | 212 | else: |
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192 | 213 | # Preprocessor is an instance of something without a __call__ |
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193 | 214 | # attribute. |
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194 | 215 | raise TypeError('preprocessor') |
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195 | 216 | |
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196 | 217 | |
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197 | 218 | def _init_preprocessors(self): |
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198 | 219 | """ |
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199 | 220 | Register all of the preprocessors needed for this exporter, disabled |
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200 | 221 | unless specified explicitly. |
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201 | 222 | """ |
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202 | 223 | self._preprocessors = [] |
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203 | 224 | |
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204 | 225 | # Load default preprocessors (not necessarly enabled by default). |
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205 | 226 | for preprocessor in self.default_preprocessors: |
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206 | 227 | self.register_preprocessor(preprocessor) |
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207 | 228 | |
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208 | 229 | # Load user-specified preprocessors. Enable by default. |
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209 | 230 | for preprocessor in self.preprocessors: |
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210 | 231 | self.register_preprocessor(preprocessor, enabled=True) |
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211 | 232 | |
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212 | 233 | |
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213 | 234 | def _init_resources(self, resources): |
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214 | 235 | |
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215 | 236 | #Make sure the resources dict is of ResourcesDict type. |
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216 | 237 | if resources is None: |
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217 | 238 | resources = ResourcesDict() |
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218 | 239 | if not isinstance(resources, ResourcesDict): |
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219 | 240 | new_resources = ResourcesDict() |
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220 | 241 | new_resources.update(resources) |
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221 | 242 | resources = new_resources |
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222 | 243 | |
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223 | 244 | #Make sure the metadata extension exists in resources |
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224 | 245 | if 'metadata' in resources: |
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225 | 246 | if not isinstance(resources['metadata'], ResourcesDict): |
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226 | 247 | resources['metadata'] = ResourcesDict(resources['metadata']) |
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227 | 248 | else: |
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228 | 249 | resources['metadata'] = ResourcesDict() |
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229 | 250 | if not resources['metadata']['name']: |
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230 | 251 | resources['metadata']['name'] = 'Notebook' |
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231 | 252 | |
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232 | 253 | #Set the output extension |
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233 | 254 | resources['output_extension'] = self.file_extension |
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234 | 255 | return resources |
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235 | 256 | |
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236 | 257 | |
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237 | 258 | def _preprocess(self, nb, resources): |
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238 | 259 | """ |
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239 | 260 | Preprocess the notebook before passing it into the Jinja engine. |
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240 | 261 | To preprocess the notebook is to apply all of the |
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241 | 262 | |
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242 | 263 | Parameters |
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243 | 264 | ---------- |
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244 | 265 | nb : notebook node |
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245 | 266 | notebook that is being exported. |
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246 | 267 | resources : a dict of additional resources that |
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247 | 268 | can be accessed read/write by preprocessors |
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248 | 269 | """ |
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249 | 270 | |
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250 | 271 | # Do a copy.deepcopy first, |
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251 | 272 | # we are never safe enough with what the preprocessors could do. |
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252 | 273 | nbc = copy.deepcopy(nb) |
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253 | 274 | resc = copy.deepcopy(resources) |
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254 | 275 | |
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255 | 276 | #Run each preprocessor on the notebook. Carry the output along |
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256 | 277 | #to each preprocessor |
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257 | 278 | for preprocessor in self._preprocessors: |
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258 | 279 | nbc, resc = preprocessor(nbc, resc) |
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259 | 280 | return nbc, resc |
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